Literature DB >> 33186825

The predictive capacity of the MADYMO ellipsoid pedestrian model for pedestrian ground contact kinematics and injury evaluation.

Shi Shang1, Catherine Masson2, Maxime Llari2, Max Py2, Quentin Ferrand2, Pierre-Jean Arnoux2, Ciaran Simms3.   

Abstract

Pedestrian injuries occur in both the primary vehicle contact and the subsequent ground contact. Currently, no ground contact countermeasures have been implemented and no pedestrian model has been validated for ground contact, though this is needed for developing future ground contact injury countermeasures. In this paper, we assess the predictive capacity of the MADYMO ellipsoid pedestrian model in reconstructing six recent pedestrian cadaver ground contact experiments. Whole-body kinematics as well as vehicle and ground contact related aHIC (approximate HIC) and BrIC scores were evaluated. Reasonable results were generally achieved for the timings of the principal collision events, and for the overall ground contact mechanisms. However, the resulting head injury predictions based on the ground contact HIC and BrIC scores showed limited capacity of the model to replicate individual experiments. Sensitivity studies showed substantial influences of the vehicle-pedestrian contact characteristic and certain initial pedestrian joint angles on the subsequent ground contact kinematics and injury predictions. Further work is needed to improve the predictive capacity of the MADYMO pedestrian model for ground contact injury predictions.
Copyright © 2020 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Ground contact; MADYMO model assessment; Pedestrians; Vehicle contact

Mesh:

Year:  2020        PMID: 33186825     DOI: 10.1016/j.aap.2020.105803

Source DB:  PubMed          Journal:  Accid Anal Prev        ISSN: 0001-4575


  1 in total

1.  Analysis of electric scooter user kinematics after a crash against SUV.

Authors:  Mariusz Ptak; Fábio A O Fernandes; Mateusz Dymek; Christopher Welter; Kacper Brodziński; Leszek Chybowski
Journal:  PLoS One       Date:  2022-01-21       Impact factor: 3.240

  1 in total

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